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Wijayanti, Linda
Universitas Katolik Indonesia Atma Jaya
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Journal : Indonesian Journal of Computing, Engineering, and Design

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Using Content-Based Filtering and Apriori for Recommendation Systems in a Smart Shopping System Pebrianti, Dwi; Ahmad, Denis; Bayuaji, Luhur; Wijayanti, Linda; Mulyadi, Melisa
Indonesian Journal of Computing, Engineering, and Design (IJoCED) Vol. 6 No. 1 (2024): IJoCED
Publisher : Faculty of Engineering and Technology, Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/ijoced.v6i1.393

Abstract

This research is motivated by the increasing significance of online shopping platforms and the challenges faced by users in locating products that align with their preferences and requirements, which can significantly influence the sales performance of online retailers. Consequently, the primary objective of this study is to design and implement a recommendation system capable of identifying suitable products and forecasting the purchase frequency for various product combinations, while also integrating this recommendation system with a smart shopping platform. To achieve this objective, the research employs machine learning techniques, specifically content-based filtering and the Apriori algorithm. Content-based filtering is utilized to analyze user preferences and behavioral patterns related to visited products, while the Apriori algorithm is employed to evaluate support and confidence values for item set combinations, thereby generating frequency values for future transactions involving product combinations. Additionally, a smart shopping system is developed and integrated, enhancing the shopping experience through smartphone applications and streamlining the payment process to facilitate seamless product purchases. The research methodology involves data collection pertaining to products and user preferences, followed by several testing involving a sample group of user respondents. The results demonstrate that the developed recommendation system effectively delivers relevant product recommendations based on user preferences, achieving a confidence value up to 98%. Furthermore, the smart shopping system proves capable of independently assisting users throughout the transaction process, thereby enhancing overall user experience and convenience.
Co-Authors Abadi, Surya Abdul Azis Ahmad, Denis Akhmad Faishol Anang Kukuh Adisusilo Andri Rachmat Kumalasian Nasution Anthon de Fretes, Anthon de Fretes Anwar, Hadrian Bachri, Karel Octavianus Basuki, Widodo Widjaja Cahyaningrum, Winda Rahma Catherine Olivia Sereati Chandra Winata Gunardi Christanto, Henoch Juli Dhanti, Kurnia Ritma Dita Pratiwi Kusuma Wardani Duma Kristina Yanti Edhifa . Emmy Wahyuningtyas Enny Widawati Faishol, Akhmad Ferry Rippun Gideon Manalu, Ferry Rippun Gideon Furtasan Ali Yusuf Gideon Manalu, Ferry Rippun Ginting, Ignatius Hanifa, Noha Hari Prasetijo Harlianto Tanudjaja Hendry Wong Henry, Carolus Herlina Herlina Indah Widayang Indriati, Kumala Jakariya Joevierdi, Joevierdi Jones, Danzel Maxdriel Samuel Jong, Susanto Julius Bata Kartadinata, Budi Khairun Nisa Kiswanto, Putri Amelia Kumala Indriati Kumar, Saurav L Lukas Lilis Sholihah Listiyowati, Tanti Luhur Bayuaji, Luhur Lukas Lukas Lukas Lukas Lukas Mahyastuti, V. Winda Maria Angela Kartawidjaja Maria Angela Kartawidjaja Markus Tanubrata Melisa Mulyadi Melisa Mulyadi Melisa Mulyadi Muhammad Afif Muhammad Hidayat Muniroh, Nur An-Nuha Muthmainnah, Ema Nova Eka Budiyanta Nugrahena, Nurmalita Putri Pebrianti, Dwi Pin Panji Yapinus, Pin Panji Putranti, Respatiningtyas Amadea Danfi Rani Anggrainy Rinto Yusriski Ronald Sukwadi Sachi, Haenuki Sandra Octaviani Sandra Octaviani Sandra Octaviani Sandra Octaviani Sarinastiti, Deliza Dhiakhalda setiawan, Dibyo Sheila Tobing Siregar, Marsul Siti Gusti Ningrum Stefan Adriel Sudarsono, Tantri Analisawati Surya Abadi Sutanto, Daniel Denis Tajuddin Nur Tajuddin Nur Theresia Ghozali Toto Tohir Wahyudi Faris Wibawa Prasetya Wiliam Wiliam Wilona Angelina Azels Wilson Zenik, Andre